Kaylan Randolph is a Research Scientist and Lecturer in Oceanography. Her research
is centered on relating freshwater, estuarine and oceanic optical properties to biogeochemistry
and upper ocean physics.
Dr. Randolph has been developing methods to measure whitecaps and bubble plumes using
measurements of in and above water optical properties and coupling the optics with
meteorological and wave field parameters to investigate the mechanisms underlying
the distribution and evolution of naturally occurring, wind-wave induced bubbles populations.
She is further developing and implementing approaches to link light scattering and
ocean color during wave breaking to turbulent kinetic energy dissipation rates in
an effort to characterize light scattering during wave breaking and to further elucidate
wave-driven turbulence at the air-sea interface. She has developed, coordinated, and
conducted field campaigns using a wide range of in and above water oceanographic instrumentation
from a variety of platforms.
Kate is leading a NASA funded effort to quantify the effects of breaking waves and
bubble plumes on hyperspectral reflectance and to relate ocean color to turbulent
kinetic energy dissipation rates using above surface radiometry and in situ optics from and near the Air-Sea Interaction Tower at Martha's Vineyard Coastal Observatory,
Woods Hole Oceanographic Institute.
NASA MVCO Data
Randolph, K., H.M. Dierssen, A. Cifuentes-Lorenzen, W.M. Balch, E.C. Monahan, C.J. Zappa, D.T. Drapeau, and B. Bowler. (2017). Novel
methods for optically measuring whitecaps under natural wave breaking conditions. J. Atmos. Oceanic Tech., 34, 533-554.
Randolph, K., H.M. Dierssen, M. Twardowski, A. Cifuentes-Lorenzen, and C.J. Zappa. (2013). Optical measurements of small, deeply penetrating bubble populations
generated by breaking waves in the Southern Ocean. Journal of Geophysical Research Oceans, 119, 757-776.
Hedley, J., B. Russell. K. Randolph, M.A. Perez-Castro, R.M. Vasquez-Elizondo, S. Enriquez, and H.M. Dierssen. (2017).
Remote sensing of seagrass leaf area index and species: the capability of a model
inversion method assessed by sensitivity analysis and hyperspectral data of Florida
Bay. Frontiers in Marine Science, 4, 362.
Hedley, J., B. Russell, K. Randolph, and H.M. Dierssen. (2016). A physics based method for the remote sensing of seagrasses, Remote sensing of Environment, 174, 134-147.
Dierssen, H. and K. Randolph. (2013). Remote Sensing of Ocean Color, in Earth System Monitoring, edited by J. Orcutt, pp. 439-472, Springer New York.
Randolph, K., J. Wilson, L.P. Tedesco, L. Li, D.L. Pascual and E. Soyeux. (2008). Hyperspectral
remote sensing of cyanobacteria in turbid productive water using optically active
pigments, chlorophyll a and phycocyanin, Remote Sensing of Environment, 112, 4009-4019.
Stephens, B. et al. (2018). The O2/N2 Ratio and CO2 Airborne Southern Ocean Study, Bull. Amer. Meteor. Soc., 99, 381–402, https://doi.org/10.1175/BAMS-D-16-0206.1.
Cifuentes-Lorenzen and K. Randolph. (2020). The Case for Measuring Whitecaps Using Ocean Color and Initial Linkages
to Subsurface Physics. In: Vlahos P., Monahan E. (eds) Recent Advances in the Study of Oceanic Whitecaps (pp. 175-195). Springer, Cham.
